Parallel Computing

Distributed & Parallel Computing

Distributed & Parallel Computing has a long history in the department, going back to the origins of the paradigm in the 1980’s when transputers were the main focus. More recently, the group’s research efforts have focused on various aspects of Linda, a coordination language for parallel/distributed programming, grid computing and incorporating parallel constructs into the Python language, with the aim of making concurrent programming more readily accessible to non-computer scientists.